{"id":"W4399656207","doi":"10.3386/w32554","title":"On Robust Inference in Time Series Regression","year":2024,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Inference; Series (stratigraphy); Time series; Regression; Computer science; Statistics; Econometrics; Artificial intelligence; Mathematics; Machine learning; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03624551,0.001682126,0.003298172,0.003020655,0.001008616,0.003001295,0.003416139,0.002495359,0.004685599],"category_scores_gemma":[0.1906447,0.001106386,0.002158015,0.004829838,0.003702341,0.003777943,0.003382566,0.005283825,0.001113713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00252094,"about_ca_system_score_gemma":0.00319173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01154844,"about_ca_topic_score_gemma":0.006340791,"domain_scores_codex":[0.9748948,0.01944688,0.0007234422,0.00165517,0.002789538,0.0004901669],"domain_scores_gemma":[0.8486168,0.1369112,0.003934719,0.006662975,0.003543602,0.0003305844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001047347,0.00005870203,0.001867509,0.0003013934,0.0003337707,0.0002313843,0.0001249553,0.2973607,0.0004061727,0.6262205,0.003836874,0.06915324],"study_design_scores_gemma":[0.00004903907,0.00003974889,0.0005843465,0.0000953701,0.00004335987,0.00004206131,0.0000268695,0.6078083,0.0004892344,0.3862585,0.004528609,0.00003464653],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00188669,0.0009500374,0.9935716,0.0007253934,0.00009399224,0.00004386249,0.0001540763,0.0002577155,0.002316516],"genre_scores_gemma":[0.2526918,0.005923769,0.7308214,0.0009370325,0.001325628,0.0008703836,0.0009323029,0.0006833944,0.005814342],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03624551,"threshold_uncertainty_score":0.1916869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1783994576077423,"score_gpt":0.4493953121861583,"score_spread":0.270995854578416,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}